SCI Students Bring A-Game to Summer Conferences
SCI Awarded COVID-19 Seed Grant

The project entitled AI/CXR Early Warning System for Infectious Respiratory Disease Outbreaks, proposes to research an early warning system for novel respiratory infectious disease outbreaks based on automated emerging cluster analysis of routine chest x-rays (CXR) using Artificial Intelligence/Machine Learning (AI/ML) and furthermore, to the use data collected during the COVID-19 pandemic to validate our proposed models.
ViSUS Utilized in Understanding COVID-19
SCI Institute and CEDMAV alumnus, Brian Summa has been working with colleagues at Tulane University to study the effects of COVID-19 on lung tissue. This research is made possible using ViSUS to analyze high resolution histological volumes too large to visualize with other software.
Chris Johnson and Chuck Hansen Inducted into The IEEE Visualization Academy

Every Breath You Take
Shortening Treatment for Lung Cancer Patients

Announcing Intel Graphics and Visualization Institutes of XeLLENCE
- Scientific Computing and Imaging Institute (SCI) at University of Utah, supported by Dr. Chris Johnson.
- Texas Advanced Computing Center (TACC) at University of Texas, Austin with Kitware, Inc, supported by Dr. Paul Navratil and Dr. Berk Geveci.
- Visualization Institute of the University of Stuttgart (VISUS), supported by Dr. Ing. E. h. Thomas Ertl and Dr. rer. nat. Guido Reina.
HCI Announces Computational Oncology Research Initiative (CORI)

Sarang Joshi Elected as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE)

Fellows are nominated each year by their peers and represent the top 2% of the medical and biological engineering community. They are considered the life-blood of AIMBE and work towards realizing AIMBE's vision to provide medical and biological engineering innovation for the benefit of humanity.
Charles Hansen appointed Distinguished Professor

New Texas supercomputer to push the frontiers of science

The new system, known as Frontera (Spanish for "frontier"), will begin operations in 2019. It will allow the nation's academic researchers to make important discoveries in all fields of science, from astrophysics to zoology, and further establishes The University of Texas at Austin's leadership in advanced computing.
Read the full article at TACC